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Machine Learning Engineer (m/w/d)
Machine Learning Engineer (m/w/d) Jetzt bewerben Für unser cross-funktionales AI-Team in München suchen wir eine:n Machine Learning Engineer (m/w/d) die fließende Deutschkenntnisse mitbringt und Lust hat, an spannenden Projekten mit Large Language Models zu arbeiten. Machine Learning Engineer (m/w/d) Was dich erwartet: Mithilfe von Data Mining, Data Science und Machine Learning-Methoden führst du Analysen und Prognosen durch, mit dem Ziel, Muster und Zusammenhänge in großen Datensätzen zu erkennen und belastbare Vorhersagen sowie Multi-Arm-Bandit-Algorithmen zu erstellen Du visualisierst Analysen und kommunizierst deine Erkenntnisse und Ergebnisse an interne und externe Stakeholder Du unterstützt die Product und System Owner sowie das Team bei der Entwicklung langfristiger digitaler Produktstrategien Was wir dir bieten: Eine gemeinsame wertvolle Vision: den lokalen Journalismus weiterhin pluralistisch und unabhängig zu gestalten und damit die Meinungsvielfalt in der Gesellschaft zu fördern Es warten auf dich spannende und verantwortungsvolle Herausforderungen im Digitaljournalismus in einem dynamisch wachsenden Medienhaus im Herzen von München wo du interdisziplinär arbeiten und top-aktuelles Wissen im Bereich Online-Medien sammeln kannst Wir bieten dir ein angenehmes Betriebsklima mit agilen, kreativen und motivierten Kollegen, bei denen der wertschätzende Umgang einen hohen Stellenwert genießt Ein umfassendes Onboarding mit Durchlauf aller relevanter Stationen und jede Menge Weiterbildung und Coaching, z.B. durch unsere ID Academy Good to know: Flache Hierarchien in einer transparenten und agilen Unternehmenskultur, 30 Tage Urlaub, freie Systemauswahl, flexible Arbeitszeitmodelle, Sabbaticals, Working abroad, Mitarbeiterrabatte (corporate benefits), Bikeleasing, Zuschüsse für die Inhouse-Kantine, betriebliche Altersvorsorge, Firmenevents und natürlich mobilen Tagen Ausschreibendes Unternehmen: IPPEN.MEDIA Ausschreibungsdatum: 2024-06-07 Vertragsart: Festanstellung Vollzeit Tätigkeitsbereich(e): Datenbankadministration; IT, SoftwareentwicklungPartner-Anzeige11.06.202480331 MünchenIT, TK, Software -
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Data Scientist (f/m/d)
To strengthen our team in Tübingen, Wiesbaden or Amsterdam, we are currently looking to recruit a Data Scientist (f/m/d) Your Responsibilities: Translate business needs into data analytics/reporting requirements to support decisions and workflows with required information across CureVac’s value chain with specific focus topics in the area of R&D/Clinical or Manufacturing/Supply Chain Apply advanced statistical analysis and predictive modeling techniques to analyze datasets Develop and evaluate statistics and cutting-edge machine learning algorithms & models to make data analysis more efficient Perform large-scale experimentation to identify hidden relationships, trends, and patterns between variables in large datasets Create compelling data visualizations and reports that communicate complex findings and recommendations to non-technical stakeholders, facilitating informed decision-making Share knowledge, best practices, and insights in a growing data analytics community at CureVac Your Qualifications: University degree in computer science, data science, statistics or a related field, or an equivalent qualification Experience in solving data analytics challenges in the Life Science area High proficiency in statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques Strong programming skills in languages such as Python, R, SQL, and ideally experience with MS-Azure-based data science capabilities (e.g., Synapse, Azure ML, Databricks) and visualization (e.g., Power BI, Plotly) Ability to work in diverse, cross-functional teams in a dynamic business environment based on agile development principles Strong communication skills, also to non-technical audiences, to guide and inspire Willingness to understand use cases to be enabled by data analytics Fluency in English, German is a plus We offer you a challenging and varied opportunity with an innovative and dynamic company that is expanding.11.06.202465183 WiesbadenIT, TK, Software -
1To strengthen our team in Tübingen, Wiesbaden or Amsterdam, we are currently looking to recruit a Data Scientist (f/m/d) Your Responsibilities: Translate business needs into data analytics/reporting requirements to support decisions and workflows with required information across CureVac’s value chain with specific focus topics in the area of R&D/Clinical or Manufacturing/Supply Chain Apply advanced statistical analysis and predictive modeling techniques to analyze datasets Develop and evaluate statistics and cutting-edge machine learning algorithms & models to make data analysis more efficient Perform large-scale experimentation to identify hidden relationships, trends, and patterns between variables in large datasets Create compelling data visualizations and reports that communicate complex findings and recommendations to non-technical stakeholders, facilitating informed decision-making Share knowledge, best practices, and insights in a growing data analytics community at CureVac Your Qualifications: University degree in computer science, data science, statistics or a related field, or an equivalent qualification Experience in solving data analytics challenges in the Life Science area High proficiency in statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques Strong programming skills in languages such as Python, R, SQL, and ideally experience with MS-Azure-based data science capabilities (e.g., Synapse, Azure ML, Databricks) and visualization (e.g., Power BI, Plotly) Ability to work in diverse, cross-functional teams in a dynamic business environment based on agile development principles Strong communication skills, also to non-technical audiences, to guide and inspire Willingness to understand use cases to be enabled by data analytics Fluency in English, German is a plus We offer you a challenging and varied opportunity with an innovative and dynamic company that is expanding.11.06.2024IT, TK, Software
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Data Scientist (f/m/d)
To strengthen our team in Tübingen, Wiesbaden or Amsterdam, we are currently looking to recruit a Data Scientist (f/m/d) Your Responsibilities: Translate business needs into data analytics/reporting requirements to support decisions and workflows with required information across CureVac’s value chain with specific focus topics in the area of R&D/Clinical or Manufacturing/Supply Chain Apply advanced statistical analysis and predictive modeling techniques to analyze datasets Develop and evaluate statistics and cutting-edge machine learning algorithms & models to make data analysis more efficient Perform large-scale experimentation to identify hidden relationships, trends, and patterns between variables in large datasets Create compelling data visualizations and reports that communicate complex findings and recommendations to non-technical stakeholders, facilitating informed decision-making Share knowledge, best practices, and insights in a growing data analytics community at CureVac Your Qualifications: University degree in computer science, data science, statistics or a related field, or an equivalent qualification Experience in solving data analytics challenges in the Life Science area High proficiency in statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques Strong programming skills in languages such as Python, R, SQL, and ideally experience with MS-Azure-based data science capabilities (e.g., Synapse, Azure ML, Databricks) and visualization (e.g., Power BI, Plotly) Ability to work in diverse, cross-functional teams in a dynamic business environment based on agile development principles Strong communication skills, also to non-technical audiences, to guide and inspire Willingness to understand use cases to be enabled by data analytics Fluency in English, German is a plus We offer you a challenging and varied opportunity with an innovative and dynamic company that is expanding.11.06.202472076 TübingenIT, TK, Software
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